SYSTEM AND METHOD FOR CLASSIFYING PHARMACEUTICAL PRODUCTS BASED ON PREDEFINED QUALITY PARAMETERS USING ARTIFICIAL INTELLIGENCEPrivate view

A system for analysis and classification of tangible products along a production path, the system comprising:

• a plurality of sensors arranged along the production path, wherein the plurality of sensors further comprises at least a radio-frequency (RF) sensing module having at least one RF antenna;
• a server communicatively coupled to the plurality of sensors, the server having a memory storing computer-executable instructions;
• and
• one or more processors configured to execute the computer-executable instructions to cause the system to:
• receive dielectric property data from the RF sensing module for each tangible product in real time;
• perform feature extraction by identifying at least one dielectric constant, electromagnetic property, or temperature deviation, within the sensor data;
• generate an aggregate quality signature via data-level or feature-level fusion of the extracted features;
• classify each tangible product as compliant or non-compliant based on comparison of the aggregate signature against one or more predefined quality parameters;
• and
• automatically initiate, when a non-compliant classification is produced, at least one real-time corrective action further comprising logging and wirelessly transmitting an operator alert;
• wherein the classification evaluates at least one or more of physical state, volume, mix-ratio, uniformity, contaminants, dielectric constants, or moisture content, thereby providing instant feedback for in-process quality control during a production cycle.